Ronaldo Canizales
@ArmandoCodigosComputer Science Ph.D. student at Colorado State University
The paper has been accepted at @LogConference 2024! I am very happy for this milestone, as this is my first paper published with @Pseudomanifold and as part of the AIDOS Lab!
❓How expressive is persistent homology (PH)? ❓Can such #topology-based learning methods be as effective as message-passing neural networks in graph #MachineLearning tasks? ➡️We (@rballeba, YT) explore this question in our updated preprint. arxiv.org/abs/2302.09826 🧵1/n
Thanks @abursuc for sharing our work! Yes we find attention maps are almost* all you need from pre-trained ViTs. * Except when the data distribution shifts -- perhaps
Interesting work by @endernewton et al. studying how & what pretraining knowledge is transfered downstream. It seems that representations are less important than attention patterns that can guide students to learn good features from scratch w/ good perfs arxiv.org/abs/2411.09702
I am recruiting Ph.D. students for my new lab at @nyuniversity! Please apply, if you want to work with me on reasoning, reinforcement learning, understanding generalization and AI for science. Details on my website: izmailovpavel.github.io. Please spread the word!
We're hiring both winter and summer research interns at Contextual AI! Apply at contextual.ai/careers/?gh_ji… if you're interested in working on RAG, LLMs, retrieval, alignment, synthetic data, evaluation, and multimodal related topics with our amazing research team.
📢 I’m recruiting PhD students for Fall 2025 at UCLA! Please apply to @CS_UCLA or @CompMedUCLA if you are interested in ML and (Gen)AI for healthcare / medicine / science. See my website for more on my research & how to apply: people.csail.mit.edu/yuzhe Please retweet!
🧐I am recruiting Postdoc and PhD students @mcgillu @Mila_Quebec ! PhD on Fairness and Privacy: Apply through @Mila_Quebec:mila.quebec/en/prospective… Postdoc on Machine Unlearning in Text-to-Image Models: Send me your CV! EQUAL Lab: shorturl.at/yDJLi ⏰Deadline: Dec 1st
📢I'm recruiting PhD students for Fall 2025 as I begin my journey as an assistant professor at @NJIT in Jan 2025. Our lab aims to explore the future of intelligent creation tools for AR/VR. 💫 Details about my advising philosophy and research vision: raynez.art/join-us/
I am hiring PhD, MSc and Postdocs @Mila_Quebec For more details on how to apply and the latest research from my lab, check out my website iro.umontreal.ca/~agrawal/. I am also attending #EMNLP2024 this week, so feel free to catch me at EMNLP if you want to know more about my lab!
✨EXCITING NEWS! Registration for the 3rd Learning on Graphs conference is now open 😊 It is virtual, free to attend, livestreamed, and recorded 📹 Sign up today! forms.gle/eYiDCopJGUc8px…
I will be at #EMNLP2024. If you are interested in postdoc, RA faculty positions, or PhD/MS, at MBZUAI let's connect. Areas I am particularly interested in: Culture+AI, AI ethics and safety, Music LMs and Reasoning.
🚀 Key Findings on 18 LLMs for Embodied Decision Making: 🤖 Insight #1 Large Reasoning Models (o1) vs LLMs: -- o1 performs better than all other 16 models in action sequencing (o1 81%, others 60%) and subgoal decomposition (o1 62%, others 48%) -- But NOT in goal…
📢We also released 100+ page detailed analysis on 18 LLMs for embodied decision making. arXiv: arxiv.org/abs/2410.07166 Website: embodied-agent-interface.github.io
This is pretty great. An AI agent based on Gemini 1.5 Pro that is able to use various tools like a debugger, etc. was able to discover a real-world vulnerability in a real and important software package (SQLite), and importantly, before it appeared in an official release.🔒
Our team has been working hard to harness the power of AI to make software more secure.✨🔐 Today we are excited to share a major milestone: our AI agent has discovered its first real-world security vulnerability! googleprojectzero.blogspot.com/2024/10/from-n… More info 🧵
We're hiring PhD students for 2025! If you're passionate about ML research in robustness, reasoning, interpretability, self-supervised learning, or theoretical foundations, we'd love to hear from you! 1/4
I am recruiting PhD students this cycle! If you're interested in: - AI agents and security - both AI agents for cybersecurity and security of AI agents - Auditing AI - Data and AI (yes I still do this... projects are cooking) Please apply to UIUC CS! 🧵 for recent projects
Stanford Graph Learning Workshop! 🚀 live stream starting at 9 AM PT, join us to dive into groundbreaking advances in Machine Learning & AI for relational domains, foundation models, and agents! Live stream: youtube.com/live/gnTqU30rw… Program: snap.stanford.edu/graphlearning-… Q&A:…
📢 Just released: the full schedule and speaker lineup for the Stanford Graph Learning Workshop! 🚀 Tomorrow, November 5, at 9 AM PT, join us to dive into groundbreaking advances in Machine Learning & AI for relational domains, foundation models, and agents. Hear from experts at…
Currently Deep RL is going through an imagenet moment and very few people are aware. This has major implications for RL applications and anyone interested in modeling behaviour (e.g. Econ and neuroscience). To find out more watch my recent talk @ICML2024: slideslive.com/39022179
I'm looking for a 2025 summer intern position in LLM-related topics in general (I have quite some relevant experiences)! You can find my CV here (fangru-lin.github.io/assets/pdf/fan…) and please DM me if you are interested!
To hell with Data Prep: Be the Data Scientist of your Childhood Dreams! Excited to share my talk at the @_odsc community where we delved into radically new methods for constructing highly accurate models over both structured and semistructured data. i.stanford.edu/~jure/pub/talk…
Graphs are everywhere! “Structured data is a graph. If you have more than two tables you have a graph and should be using graph technology” - @jure from @Kumo_ai_team at @_odsc
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